使用EmguCV.Stitching类开发图像拼接程序时遭遇内存泄漏问题求助

Let's break down the potential issues in your code and walk through actionable fixes to resolve the memory leak problem:

1. Fix Mat Resource Management in VectorOfMat #

Your current approach creates an array of Mat, pushes them to VectorOfMat, then immediately disposes the array elements. This can lead to dangling references in the VectorOfMat (since EmguCV's VectorOfMat holds references to underlying OpenCV cv::Mat objects, not deep copies). When you dispose the original Mat instances, the VectorOfMat ends up pointing to invalid memory, causing both leaks and crashes.

Instead, clone each image when pushing to VectorOfMat, and ensure the original temporary Mat is properly disposed in a using block:

using (VectorOfMat input = new VectorOfMat())
{
    foreach (var filePath in filePaths)
    {
        using (Mat tempImg = CvInvoke.Imread(filePath, ImreadModes.AnyColor))
        {
            if (!tempImg.IsEmpty)
            {
                // Push a clone so VectorOfMat owns its own copy of the image data
                input.Push(tempImg.Clone());
            }
        }
    }
    // Proceed with stitching
}

2. Ensure All Resources Are Wrapped in Using Blocks #

Your result Mat is created outside the using blocks and manually disposed later. Wrap it in a using block to guarantee proper cleanup even if an exception occurs during stitching:

using (Mat result = new Mat())
{
    using (Stitcher stitcher = new Stitcher(mode))
    using (AKAZE detector = new AKAZE(AKAZE.DescriptorType.Mldb, 0, 3, threshhold))
    using (VectorOfMat input = new VectorOfMat())
    {
        stitcher.SetFeaturesFinder(detector);
        // Load images into VectorOfMat with clones (as shown in step 1)
        foreach (var filePath in filePaths)
        {
            using (Mat tempImg = CvInvoke.Imread(filePath, ImreadModes.AnyColor))
            {
                if (!tempImg.IsEmpty)
                {
                    input.Push(tempImg.Clone());
                }
            }
        }

        Stitcher.Status stitchStatus = stitcher.Stitch(input, result);
        if (stitchStatus != Stitcher.Status.OK)
        {
            Console.WriteLine($"Stitching failed with status: {stitchStatus}");
            return;
        }
    }

    // Save the result
    using (Image<Bgr, byte> resImage = result.ToImage<Bgr, byte>())
    {
        resImage.Save(storagePath);
    }
}

3. Address Version-Specific Bugs in EmguCV 4.1.0 #

EmguCV 4.1.0 is a relatively old release, and the Stitcher class had known memory leak issues in earlier versions related to unmanaged resource cleanup for feature detectors and matchers. Upgrading to a newer stable version (e.g., 4.5.5 or later) can resolve these out-of-the-box bugs. You can update via NuGet by searching for Emgu.CV and installing the latest compatible version.

4. Verify Behavior in Release Mode #

Debug builds of EmguCV and .NET can retain memory for debugging purposes (e.g., debug symbols, unmanaged memory pools that aren't immediately freed). Test your code in Release mode to see if the "leak" is just delayed garbage collection or debug-specific overhead. If the leak disappears in Release, it's likely not a true leak but debug-related memory retention.

5. Force Garbage Collection (For Debugging Only) #

To rule out delayed GC as the cause, you can add forced collection after cleanup (this is not recommended for production code, but useful for debugging):

// After all using blocks and disposals
GC.Collect();
GC.WaitForPendingFinalizers();
GC.Collect();

If you implement these changes, you should see a significant reduction in memory usage. The most critical fixes are correcting the VectorOfMat memory management and upgrading your EmguCV version to address known leaks.

内容的提问来源于stack exchange，提问作者Dr. Silbermann